In today’s world, AI has become an integral part of our daily lives, powering devices and services across virtually every industry. From personalized recommendations and virtual assistants to innovative predictive applications—AI-driven technologies are everywhere, with 77% of devices incorporating some form of AI1. The potential of AI is undeniable, the global AI in mobility market was valued at $5.89 billion in 20232 and is projected to reach approximately $337.27 billion by 20332, growing at an impressive compound annual growth rate (CAGR) of 49.89% from 2024 to 20332.
Trend in AI
Companies are increasingly prioritizing investments in Applied AI, recognizing its potential to revolutionize industries3. This trend presents a unique opportunity for Soarchain—a mobility-focused DePIN. By aligning with the growing demand for applied AI solutions and the untapped potential of the Web3 sector, Soarchain is well-positioned to capitalize on this convergence.
Primary bottleneck of AI
In this article, we will delve into the major bottleneck hindering the widespread adoption of AI—the scarcity of high-quality, domain-specific data. Building enterprise-grade AI requires increasing amounts of diverse, highly contextualized data, of which there are limited supplies.8 4 5 We will explore how Soarchain directly addresses this issue, making it an essential component of the AI ecosystem.
Data Quality
AI's progress is hampered by the scarcity of high-quality data. This limitation directly impacts the accuracy and reliability of AI models. There are three main data quality bottlenecks, data preparation, data debugging and data quality monitoring—says Vikram who previously led product management at Google AI.6
Data Preparation: Ensuring that concise, specific and high quality data is being invested on from the beginning. 6
Data Debugging: Identifying and addressing data quality issues during model training is essential for achieving optimal performance. 6
Data Monitoring: Continuous monitoring of real-world data is necessary to detect and mitigate data inconsistencies because data gets outdated.6
Soarchain’s Solutions
Domain Specific Data: Soarchain offers highly mobile vehicle data. It doesn’t store or silo the data and does not access the raw data itself albeit performs best practices to streamline the monotonous data.
For example, instead of working with a data set of constant engine temperature for several hours. The mean is taken, with its standard deviation and outliers.
Data Verification: Soarchain verifies the data on the protocol level, with a modular architecture. Entities called Guardians and Runners play a pivotal role in doing the verification for data plausibility, integrity and authenticity.
Real-time Fresh Data: To avoid continuous monitoring and having outdated data, Soarchain offers real-time data—creating perpetually improving models.
Even advanced algorithms like deep learning—a subset of machine learning focuses on using neural networks with many layers to process complex data, require massive data volume to display exceptional performance7, making Soarchain a key player in providing high-quality data.
Applied AI Applications
Applied AI is a sector that uses AI technologies and techniques to solve specific, real-world problems across various industries. Soarchain is pioneering in the sector by providing solutions to tackle the data quality.
How it works:
Data Capture: A Soarchain Mini device—plugged into a vehicle's OBD2 port, collects real-time vehicle data.
Data Transmission: This data is securely transmitted to the Soarchain network via Soarchain Connect.IOS ANDROID
Data Enrichment: The captured data undergoes rigorous processing with the help of Guardians and Runners to ensure high quality, domain specificity, and real-time verification.
AI Application: The enriched data can be utilized by various AI applications through Data Provision Request (DPR), enabling functionalities like predictive maintenance, predictive mapping and pay-how-you-drive vehicle insurance.
Benefits for vehicle owners from Day 1
Imagine a world where your driving behavior can improve the health of your vehicle and save you fuel costs, repair costs and prolong your vehicles life.
The high-quality, real time data from Soarchain is used by AI models, giving safety alerts and personalized best practices—how much to idle, what’s the optimal speed, how rash was the braking and so on.
With this, Soarchain innovates the way we maintain our vehicles and solves efficiency issues, giving users unparalleled utility.
Just as a doctor ensures that a patient receives the correct, high-quality and optimal medication, solving health issues—Soarchain ensures that AI models receive the high quality and optimal data, solving the data scarcity issues.
Comments